sigir-artifact-evaluation
Use when packaging code, run files, test collections, or judgments for a SIGIR submission — deciding between an artifact inside a full/short paper and a standalone Resources track paper, building reviewer-runnable IR repositories, run-file and qrels hygiene, licensing and datasheets, and single- vs double-anonymous handling.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigir-artifact-evaluation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# SIGIR Artifact Evaluation At SIGIR, "artifact" means something more specific than in most ML venues: the community's unit of exchange is the **run file + qrels + index recipe**, inherited from the TREC evaluation tradition. A SIGIR artifact is convincing when a stranger can rebuild your ranking, score it with standard tooling, and get your table. This skill covers packaging that artifact — and t
What does the sigir-artifact-evaluation skill do?
Use when packaging code, run files, test collections, or judgments for a SIGIR submission — deciding between an artifact inside a full/short paper and a standalone Resources track paper, building reviewer-runnable IR repositories, run-file and qrels hygiene, licensing and datasheets, and single- vs double-anonymous handling.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigir-artifact-evaluation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.